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from EdgeGPT import Chatbot
from aiohttp import web
import time
import random
import string
import json
import re
import sys
import tiktoken
import config
import requests
import aiohttp
from urllib.parse import urlparse
PORT = 7860
HOST = "0.0.0.0"
CONCATENATE_RESPONSES = config.CONCATENATE_RESPONSES
CONCATENATE_RESPONSES_STRING = config.CONCATENATE_RESPONSES_STRING
DESIRED_TOKENS = config.DESIRED_TOKENS
CONTINUATION_QUERY = config.CONTINUATION_QUERY
MARKUP_FIX = config.MARKUP_FIX
COOKIE_NAME = config.COOKIE_NAME
USER_MESSAGE_WORKAROUND = config.USER_MESSAGE_WORKAROUND
USER_MESSAGE = config.USER_MESSAGE
REDIRECT_PROXY = config.REDIRECT_PROXY
REDIRECT_API_KEY = config.REDIRECT_API_KEY
REDIRECT_API_MODEL = config.REDIRECT_API_MODEL
REDIRECT_COMMAND = config.REDIRECT_COMMAND
REDIRECT_TEMPERATURE = config.REDIRECT_TEMPERATURE
REDIRECT_USE_CONTEXT = config.REDIRECT_USE_CONTEXT
REDIRECT_CONTEXT_TOKENS = config.REDIRECT_CONTEXT_TOKENS
try:
cookies = json.loads(open(f"./{COOKIE_NAME}", encoding="utf-8").read())
except:
cookies = None
class LinkPlaceholderReplacer:
def __init__(self):
self.placeholder_wrap = ""
self.i = 0
self.urls = []
self.stash = ""
self.regex = r'\^(\d+)\^'
def process(self, content, urls):
if "[" not in content and self.i == 0:
return content
self.stash += content
if "[" in content:
self.i = 1
return ""
elif self.i == 1 and re.search(self.regex, self.stash):
self.i = 2
return ""
elif self.i == 1 and not re.search(self.regex, self.stash):
self.i = 0
result = self.stash
self.stash = ""
return result
elif self.i == 2:
result = re.sub(r'\[\^(\d+)\^\]', lambda match: transform_into_hyperlink(match, urls), self.stash)
self.i = 0
self.stash = ""
return result
self.stash = ""
class OpenaiResponse:
def __init__(self, id, created, end=False, content="", stream=True):
self.id = id
self.created = created
self.end = end
self.content = content
self.stream = stream
def dict(self):
if self.stream:
data = {
"id": self.id,
"object": "chat.completion.chunk",
"created": self.created,
"model": "gpt-4",
"choices": [
{
"delta": {},
"index": 0,
"finish_reason": "null"
}
]
}
if self.end: data["choices"][0]["finish_reason"] = "stop"
if self.content: data["choices"][0]["delta"] = {"content": self.content}
return data
else:
data = {
"id": self.id,
"created": self.created,
"object": "chat.completion",
"model": "gpt-4",
"choices": [{
"message": {
"role": 'assistant',
"content": self.content
},
'finish_reason': 'stop',
'index': 0,
}]
}
return data
def transform_into_hyperlink(match, urls):
index = int(match.group(1)) - 1
return f" [{urlparse(urls[index]).hostname}]({urls[index]})"
def prepare_response(id, created, filter=False, content="", end=False, done=False, stream=True):
response = b""
if stream:
if filter:
OAIResponse = OpenaiResponse(id, created, content="Отфильтровано.", stream=stream)
response += b"data: " + json.dumps(OAIResponse.dict()).encode() + b"\n\n"
if content:
OAIResponse = OpenaiResponse(id, created, content=content, stream=stream)
response += b"data: " + json.dumps(OAIResponse.dict()).encode() + b"\n\n"
if end:
OAIResponse = OpenaiResponse(id, created, end=True, stream=stream)
response += b"data: " + json.dumps(OAIResponse.dict()).encode() + b"\n\n"
if done:
response += b"data: " + b"[DONE]" + b"\n\n"
else:
response = json.dumps(OpenaiResponse(id, created, content=content, stream=stream).dict()).encode()
return response
def transform_message(message):
role = message["role"]
content = message["content"]
anchor = "#additional_instructions" if role == "system" else "#message"
return f"[{role}]({anchor})\n{content}\n\n"
def process_messages(messages):
transformed_messages = [transform_message(message) for message in messages]
return "".join(transformed_messages)+"\n"
class SSEHandler(web.View):
async def get(self):
data = {
"object": "list",
"data": [
{
"id": "gpt-4",
"object": "model",
"created": str(int(time.time())),
"owned_by": "OpenAI",
"permissions": [],
"root": 'gpt-4',
"parent": None
}
]
}
return web.json_response(data)
async def post(self):
self.id = "chatcmpl-" + ''.join(random.choices(string.ascii_letters + string.digits, k=29))
self.created = str(int(time.time()))
self.responseWasFiltered = False
self.responseWasFilteredInLoop = False
self.fullResponse = ""
async def streamCallback(self, data):
self.fullResponse += data
if stream and not redirect:
await self.response.write(b"data: " + json.dumps({
"id": self.id,
"object": "chat.completion.chunk",
"created": self.created,
"model": "gpt-4",
"choices": [
{
"delta": { "content": data },
"index": 0,
"finish_reason": "null"
}
]
}).encode() + b"\n\n")
request_data = await self.request.json()
messages = request_data.get('messages', [])
if USER_MESSAGE_WORKAROUND:
prompt = USER_MESSAGE
context = process_messages(messages)
else:
prompt = messages[-1]['content']
context = process_messages(messages[:-1])
stream = request_data.get('stream', [])
self.response = web.StreamResponse(
status=200,
headers={
'Content-Type': 'application/json',
}
)
await self.response.prepare(self.request)
conversation_style = self.request.path.split('/')[1]
if conversation_style not in ["creative", "balanced", "precise"]:
conversation_style = "creative"
if self.request.path.split('/')[1] == "suggestion":
redirect = True
if self.request.path.split('/')[2] == "suggestion":
suggestion = True
else:
suggestion = False
if self.request.path.split('/')[2] == "redirect":
redirect = True
else:
redirect = False
async def output(self, streamCallback, nsfwMode=False):
self.responseText = ""
try:
chatbot = await Chatbot.create(cookies=cookies)
except Exception as e:
if str(e) == "[Errno 11001] getaddrinfo failed":
print("Нет интернет-соединения.")
return
print("Ошибка запуска чатбота.", str(e))
return
print("\nФормируется запрос...")
link_placeholder_replacer = LinkPlaceholderReplacer()
wrote = 0
async for final, response in chatbot.ask_stream(
prompt=prompt,
raw=True,
webpage_context=context,
conversation_style=conversation_style,
search_result=True,
):
if not final and response["type"] == 1 and "messages" in response["arguments"][0]:
message = response["arguments"][0]["messages"][0]
match message.get("messageType"):
case "InternalSearchQuery":
print(f"Поиск в Бинге:", message['hiddenText'])
case "InternalSearchResult":
if 'hiddenText' in message:
search = message['hiddenText'] = message['hiddenText'][len("```json\n"):]
search = search[:-len("```")]
search = json.loads(search)
urls = []
if "question_answering_results" in search:
for result in search["question_answering_results"]:
urls.append(result["url"])
if "web_search_results" in search:
for result in search["web_search_results"]:
urls.append(result["url"])
case None:
if "cursor" in response["arguments"][0]:
print("\nОтвет от сервера:\n")
if message.get("contentOrigin") == "Apology":
if stream and wrote == 0:
await streamCallback(self, "Отфильтровано.")
if nsfwMode:
self.responseWasFilteredInLoop = True
break
if MARKUP_FIX:
if self.responseText.count("*") % 2 == 1 or self.responseText.count("*") == 1:
await streamCallback(self, "*")
self.responseText += "*"
if self.responseText.count("\"") % 2 == 1 or self.responseText.count("\"") == 1:
await streamCallback(self, "\"")
self.responseText += "\""
self.responseWasFiltered = True
print("\nОтвет отозван во время стрима.")
break
else:
streaming_content_chunk = message['text'][wrote:]
streaming_content_chunk = streaming_content_chunk.replace('\\"', '\"')
if 'urls' in vars():
if urls:
streaming_content_chunk = link_placeholder_replacer.process(streaming_content_chunk, urls)
self.responseText += streaming_content_chunk
await streamCallback(self, streaming_content_chunk)
print(message["text"][wrote:], end="")
sys.stdout.flush()
wrote = len(message["text"])
if "suggestedResponses" in message:
suggested_responses = '\n'.join(x["text"] for x in message["suggestedResponses"])
suggested_responses = "\n```" + suggested_responses + "```"
if suggestion and not nsfwMode:
await streamCallback(self, suggested_responses)
break
if final and not response["item"]["messages"][-1].get("text"):
print("Сработал фильтр.")
if nsfwMode:
print("Выходим из цикла.\n")
self.responseWasFilteredInLoop = True
await chatbot.close()
try:
if stream and not redirect:
await self.response.write(b"data: " + json.dumps({
"id": self.id,
"object": "chat.completion.chunk",
"created": self.created,
"model": "gpt-4",
"choices": [
{
"delta": { "role": 'assistant' },
"index": 0,
"finish_reason": "null"
}
]
}).encode() + b"\n\n")
await output(self, streamCallback)
encoding = tiktoken.get_encoding("cl100k_base")
if self.responseWasFiltered and CONCATENATE_RESPONSES:
tokens_total = len(encoding.encode(self.fullResponse))
if USER_MESSAGE_WORKAROUND:
prompt = CONTINUATION_QUERY
context += f"[assistant](#message)\n{self.responseText}\n"
else:
context+=f"[{messages[-1]['role']}](#message)\n{prompt}\n\n[assistant](#message)\n{self.responseText}\n"
prompt=CONTINUATION_QUERY
self.fullResponse += CONCATENATE_RESPONSES_STRING
print("Токенов в ответе:",tokens_total)
while tokens_total < DESIRED_TOKENS and not self.responseWasFilteredInLoop:
if stream and not redirect:
await self.response.write(b"data: " + json.dumps({
"id": self.id,
"object": "chat.completion.chunk",
"created": self.created,
"model": "gpt-4",
"choices": [
{
"delta": { "content": CONCATENATE_RESPONSES_STRING },
"index": 0,
"finish_reason": "null"
}
]
}).encode() + b"\n\n")
await output(self, streamCallback, nsfwMode=True)
context+=self.responseText + CONCATENATE_RESPONSES_STRING
self.fullResponse += CONCATENATE_RESPONSES_STRING
tokens_response = len(encoding.encode(self.responseText))
tokens_total = len(encoding.encode(self.fullResponse))
print(f"\nТокенов в ответе: {tokens_response}")
print(f"Токенов всего: {tokens_total}")
if redirect:
async with aiohttp.ClientSession() as session:
messages_token_count = len(encoding.encode(f"{self.fullResponse}\n\n{REDIRECT_COMMAND}"))
redirect_messages = [{"role": "user", "content": f"{self.fullResponse}\n\n{REDIRECT_COMMAND}"}]
if REDIRECT_USE_CONTEXT:
for message in reversed(messages):
if (messages_token_count + len(message["content"])) > REDIRECT_CONTEXT_TOKENS: break
messages_token_count += len(message["content"])
redirect_messages.insert(0, message)
headers = {"Content-Type": "application/json","Authorization": f"Bearer {REDIRECT_API_KEY}"}
body = {
"model": REDIRECT_API_MODEL,
"messages": redirect_messages,
"temperature": REDIRECT_TEMPERATURE,
"stream": stream
}
if REDIRECT_PROXY.endswith("v1/chat/completions") or REDIRECT_PROXY.endswith("v1/chat/completions/"):
url = REDIRECT_PROXY
elif REDIRECT_PROXY.endswith("/"):
url = f"{REDIRECT_PROXY}v1/chat/completions"
else:
url = f"{REDIRECT_PROXY}/v1/chat/completions"
async with session.post(url, headers=headers, json=body) as response:
async for chunk in response.content.iter_chunked(1024):
chunk_str = chunk.decode("utf-8")
if stream and not chunk_str.startswith("data: ") and chunk_str != "\n: joining queue\n\n":
oai_response = prepare_response(self.id, self.created, content="```\n" + chunk_str + "\n```", end=True, done=True, stream=True)
await self.response.write(oai_response)
elif not stream and not "choices" in json.loads(chunk.decode("utf-8")) and chunk.decode("utf-8") != "\n: joining queue\n\n":
oai_response = prepare_response(self.id, self.created, content="```\n" + chunk_str + "\n```", stream=False)
await self.response.write(oai_response)
else: await self.response.write(chunk)
else:
if stream:
await self.response.write(b"data: " + json.dumps({
"id": self.id,
"created": self.created,
"object": 'chat.completion.chunk',
"model": "gpt-4",
"choices": [{
"delta": {},
"finish_reason": 'stop',
"index": 0,
}],
}).encode() + b"\n\n")
else:
await self.response.write(json.dumps({
"id": self.id,
"created": self.created,
"object": "chat.completion",
"model": "gpt-4",
"choices": [{
"message": {
"role": 'assistant',
"content": self.fullResponse
},
'finish_reason': 'stop',
'index': 0,
}]
}).encode())
return self.response
except Exception as e:
error = f"Ошибка: {str(e)}."
error_text = ""
if str(e) == "'messages'":
error_text = "\nПроблема с учеткой. Возможные причины: \n```\n " \
" Бан. Фикс: регистрация по новой. \n " \
" Куки слетели. Фикс: собрать их снова. \n " \
" Достигнут лимит сообщений Бинга. Фикс: попробовать разлогиниться и собрать куки, либо собрать их с новой учетки и/или айпи. \n " \
" Возможно Бинг барахлит/троттлит запросы и нужно просто сделать реген/свайп. \n```\n " \
"Чтобы узнать подробности можно зайти в сам чат Бинга и отправить сообщение."
print(error, error_text)
elif str(e) == " " or str(e) == "":
error_text = "Таймаут."
print(error, error_text)
elif str(e) == "received 1000 (OK); then sent 1000 (OK)" or str(e) == "'int' object has no attribute 'split'":
error_text = "Слишком много токенов. Больше 14000 токенов не принимает."
print(error, error_text)
elif str(e) == "'contentOrigin'":
error_text = "Ошибка связанная с размером промпта. \n " \
"Возможно последнее сообщение в отправленном промпте (джейл или сообщение пользователя/ассистента) " \
"на сервер слишком большое. \n"
print(error, error_text)
else:
print(error)
if not self.fullResponse:
if stream:
oai_response = prepare_response(self.id, self.created, content=error + error_text, end=True, done=True, stream=True)
else:
oai_response = prepare_response(self.id, self.created, content=error + error_text, stream=False)
else:
if stream:
oai_response = prepare_response(self.id, self.created, end=True, done=True, stream=True)
else:
oai_response = prepare_response(self.id, self.created, content=self.fullResponse, stream=False)
await self.response.write(oai_response)
return self.response
app = web.Application()
app.router.add_routes([
web.route('*', '/{tail:.*}', SSEHandler),
])
if __name__ == '__main__':
print(f"Есть несколько режимов (разнятся температурой):\n"
f"По дефолту стоит creative: http://{HOST}:{PORT}/\n"
f"Режим creative: http://{HOST}:{PORT}/creative\n"
f"Режим precise: http://{HOST}:{PORT}/precise\n"
f"Режим balanced: http://{HOST}:{PORT}/balanced\n"
f"Есть режим подсказок от Бинга. Чтобы его включить, нужно добавить /suggestion после выбранного режима.\n"
f"И еще есть режим переброса, нужный для того чтобы победить шиканье креативной Сидни. Включается добавлением /redirect после режима.")
web.run_app(app, host=HOST, port=PORT, print=None) |